Traditional vs. Our language-based trajectory prediction, LMTraj. We provide our zero-shot prediction results in the release section. These results include all multimodal trajectories and are ...

In this study, a nonnegative constrained principal component regression chemical mass ... perturbed to simulate measurement errors. The synthetic receptors were separately apportioned by CMB and ...

The "Reasoning Effort" option is no longer visible in the Model Settings regardless of which model is selected. It appears only for a very limited set of models (e.g., ChatGPT), and only directly ...

The economic burden of inpatients was represented by the actual compensation ratio per case (ACR) for different medical insurances (Equation 1 ... We used a generalized linear segmented regression ...

Abstract: Issues related to creation of mathematical models and modeling of pre-formation of random processes, signals and noise in non-linear non-inertial elements ... distribution and ...

The general equation presented lower ... indicating larger prediction errors (to be confirmed by the validation of the models). Validation of models generated with stepwise multiple linear regression ...

Abstract: This paper presents a hardware architecture for non-uniform random number generation, which allows the generator's distribution to be modified at run-time without reconfiguration. The ...